| ## Model and data descriptions | |
| This is a wav2vec 2.0 base model trained on the Niger-Mali audio collection and on the Tamasheq-French speech corpus. These combined contained 111 hours of French, 109 hours of Fulfulde, 100 hours of Hausa, 243 hours of Tamasheq and 95 hours of Zarma. | |
| These corpora were presented in [Boito et al., 2022](https://arxiv.org/abs/2201.05051). | |
| ## Intended uses & limitations | |
| Pretrained wav2vec2 models are distributed under the Apache-2.0 license. Hence, they can be reused extensively without strict limitations. | |
| ## Referencing our IWSLT models | |
| ``` | |
| @article{boito2022trac, | |
| title={ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks}, | |
| author={Boito, Marcely Zanon and Ortega, John and Riguidel, Hugo and Laurent, Antoine and Barrault, Lo{\"\i}c and Bougares, Fethi and Chaabani, Firas and Nguyen, Ha and Barbier, Florentin and Gahbiche, Souhir and others}, | |
| journal={IWSLT}, | |
| year={2022} | |
| } | |
| ``` |